CLPS Launches Athena AI Platform to Cut Retrieval Time and Boost Pre-sales Efficiency by 50%
CLPS•CLPS has launched Athena, an AI-driven platform that consolidates multimodal documents into an interactive knowledge base using LLMs, vector databases and self-evolving agents. Athena will cut knowledge retrieval from hours to seconds and improve pre-sales delivery efficiency by over 50%, while protecting core intellectual assets.
1. Project Athena Overview
CLPS has introduced Athena, an enterprise AI knowledge assetization project designed to centralize critical corporate knowledge assets into a unified, reasoning-enabled platform. The initiative targets dispersed documents, images, audio recordings and CRM data to streamline access and utilization across sales, pre-sales, delivery and client management teams.
2. Technology Components
Athena leverages multimodal knowledge extraction technologies—including OCR, speech recognition, document layout analysis—and advanced LLM Wiki knowledge weaving to transform unstructured materials into a structured, interlinked knowledge network hosted in vector databases. Self-evolving AI agents support intelligent retrieval, reasoning and planning for precise, context-aware answers.
3. Operational Efficiency Gains
By replacing manual document searches with natural language queries, Athena reduces knowledge retrieval time from hours to seconds. The platform is expected to improve pre-sales solution delivery efficiency by more than 50%, enabling faster client response and higher-quality solution development.
4. Asset Protection and Competitive Advantage
Athena safeguards CLPS’s core intellectual assets through a permission-based framework and self-evolving feedback loop that optimizes answer quality. This transformation of institutional knowledge into a digital asset mitigates turnover risks and strengthens the company’s long-term competitive position.
